Are You Using Large Language Model (LLM) Effectively? A Comprehensive Guide to AI Fluency

AI Literacy

Understanding the Importance of AI Fluency

In a recent CNN interview, NVIDIA CEO Jensen Huang stated, "I am not using it (AI) to think for me. I am asking it to teach things I do not know or help me solve problems that otherwise I won't be able to solve reasonably... When I am interacting with AI, it is a questioning system. In order to formulate a good question, you have to be thinking, you have to be analytical, you have to be reasoning yourselves. When you receive an answer from AI, I would not just receive it. Usually, what I do is I take an answer from one AI and I give it to another AI and I ask them to critique itself. It is no different than getting three opinions."

He emphasized that AI will impact every job, and that using AI is now mandatory at NVIDIA. He predicts a future where AI assistants will help cure diseases, build intelligent robots, and reshape industries. His message is clear: AI fluency is not just a skill—it’s a mandate for future success. For his interview, see the following link: CNN Interview with Jensen Huang.

As AI becomes a co-pilot in our daily lives, learning how to interact effectively with Large Language Models (LLMs) is no longer optional—it’s transformative. Whether you're a student, professional, or lifelong learner, this blog will help you assess your current AI fluency and guide you toward the right learning path.

Self-Assessment: Evaluating Your AI Engagement

Step 1: Self-Assessment Questionnaire

Start by answering these 10 questions to evaluate your familiarity and engagement with LLMs:

1. Do you use Large Language Models (LLMs) daily?

2. Do you receive clear, consistent, and concise responses from LLMs?

3. Do you apply the basics of writing effective prompts?

4. Have you explored advanced prompt engineering techniques like flip interaction, prompt sequencing, chain of thought, or tree of thought?

5. Do you believe your job will evolve due to AI integration?

6. Do you use AI to solve everyday problems—like travel planning, investment decisions, or creative tasks?

7. Have you taken any AI or prompt engineering courses?

8. Have you used popular LLMs such as GPT-4, GPT-4o, O-1, Microsoft Copilot, Gemini Gems, Claude, Mistral, or Llama?

9. Have you built any practical AI applications in the past year?

10. Is your employer actively using or promoting AI in your workplace?

Step 2: Scoring Your AI Fluency

Give yourself 1 point for each “Yes.” Your total score (0–10) will help determine the best learning path for you.

Step 3: Recommended Courses Based on Your Score

Here’s how to match your score to the right course:

Score Range	Recommended Path	Course Options
0–3	Beginner Level	Self-Paced: Prompt Engineering using LLM Instructor-Led: Prompt Engineering Sep 2-Sep 6, 2025)
4–7	Foundation Level	Self-Paced: Improve Accuracy of LLM using TAG and RAG Instructor-Led: Generative AI Foundation Course (Sep 22-Oct 4, 2025)
8–10	Advanced Level	Instructor-Led: Generative AI Mastery – Build Agentic Solutions  (Oct 7-Nov 8, 2025)

The image below provides a clear flowchart that maps your score to the appropriate course level, ensuring a structured and personalized learning journey.

Final Thoughts on Collaborating with Large Language Models

Whether you're just starting or already building agentic solutions, interacting with LLMs is a skill that unlocks creativity, innovation, and career growth. Use this framework to assess, learn, and lead in the AI-powered future.

Prompt Engineering Exercise

Here is an interesting prompt engineering exercise for you. Can you convert the above set of questions into a consultative session with your favorite LLM using the flipped interaction technique?

Feel free to connect with us on next steps for your prompt engineering journey by sending email at admin@aaii.ai . 🚀 #AI #AIEducation #TechInnovation